Articles | Volume 18, issue 13
Atmos. Chem. Phys., 18, 10007–10023, 2018
https://doi.org/10.5194/acp-18-10007-2018
Atmos. Chem. Phys., 18, 10007–10023, 2018
https://doi.org/10.5194/acp-18-10007-2018

Research article 13 Jul 2018

Research article | 13 Jul 2018

Upscaling surface energy fluxes over the North Slope of Alaska using airborne eddy-covariance measurements and environmental response functions

Andrei Serafimovich et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Andrei Serafimovich on behalf of the Authors (14 Jun 2018)  Author's response    Manuscript
ED: Publish as is (15 Jun 2018) by Geraint Vaughan
AR by Andrei Serafimovich on behalf of the Authors (15 Jun 2018)  Author's response
Download
Short summary
In order to support the evaluation of coupled atmospheric–land-surface models we investigated spatial patterns of energy fluxes in relation to land-surface properties and upscaled airborne flux measurements to high resolution flux maps. A machine learning technique allows us to estimate environmental response functions between spatially and temporally resolved flux observations and corresponding biophysical and meteorological drivers.
Altmetrics
Final-revised paper
Preprint